in Economics Classification of Network Formation Models
نویسندگان
چکیده
Social network formation models are often compared by their network structures, which satisfy specific equilibrium or welfare properties. Here, we concentrate on welfare criteria and define properties of utility function which are causal for certain network structures. We hope the identification of different properties of utility function will enhance the understanding of the relationship of different network formation models. If this line of research is continued, a kind of engineering of network formation models might arise such that actual social networks can be directly described by appropriate utility functions. JEL Classification: D60, D85, L14, Z13
منابع مشابه
Porosity classification from thin sections using image analysis and neural networks including shallow and deep learning in Jahrum formation
The porosity within a reservoir rock is a basic parameter for the reservoir characterization. The present paper introduces two intelligent models for identification of the porosity types using image analysis. For this aim, firstly, thirteen geometrical parameters of pores of each image were extracted using the image analysis techniques. The extracted features and their corresponding pore types ...
متن کاملInterval network data envelopment analysis model for classification of investment companies in the presence of uncertain data
The main purpose of this paper is to propose an approach for performance measurement, classification and ranking the investment companies (ICs) by considering internal structure and uncertainty. In order to reach this goal, the interval network data envelopment analysis (INDEA) models are extended. This model is capable to model two-stage efficiency with intermediate measures i...
متن کاملA Validation Test Naive Bayesian Classification Algorithm and Probit Regression as Prediction Models for Managerial Overconfidence in Iran's Capital Market
Corporate directors are influenced by overconfidence, which is one of the personality traits of individuals; it may take irrational decisions that will have a significant impact on the company's performance in the long run. The purpose of this paper is to validate and compare the Naive Bayesian Classification algorithm and probit regression in the prediction of Management's overconfident at pre...
متن کاملModeling and Forecasting Effects of Crude Oil Price Changes on the US and UK GDP
       This paper proposes a new forecasting model for investigating relationship between the price of crude oil, as an important energy source and GDP of the US, as the largest oil consumer, and the UK, as the oil producer. GMDH neural network and MLFF neural network approaches, which are both non-linear models, are employed to forecast GDP responses to the oil price changes. The resul...
متن کاملInvestigating the Temporary and Permanent Influential Variables on Iran Inflation Using TVP-DMA Models
I nflation forecast is one of the tools in targeting inflation by the central bank. The most important problem of previous models to forecast the inflation is that they could not provide a correct prediction over time. However, the central bank policymakers shall seek to create economic stability by ignoring the short-term and temporary changes in price and regarding steady inflation...
متن کامل